Margot Gerritsen
Professor of Energy Resources Engineering, Emerita, School of Engineering
Dr. Margot Gerritsen is a professor in the Department of Energy Resources Engineering at Stanford. She is the co-founder and co-director of Women in Data Science (WiDS), an initiative to inspire and educate data scientists worldwide, regardless of gender, and to support women in the field. If you want to learn more about how to use data science to address critical issues like climate change in an equitable way, WiDS invites you to attend their annual conference on March 7, 2022 at Stanford University and online across the world.
Matthew Goetz
Professor of Oncology
Associate Professor of Pharmacology
Matthew P. Goetz, M.D., is a researcher, professor, and clinician at the Mayo Clinic. He has been the principal investigator of several clinical trials focused on the integration of pharmacogenomics into cancer treatment and the development of novel therapeutics in this area. He currently co-leads Mayo’s Breast Cancer Genome Guided Therapy (BEAUTY) study. After receiving his medical degree from University of North Dakota, Dr. Goetz completed training in internal medicine at University of Michigan. Dr. Goetz is currently the chair of the Breast Cancer Disease-Oriented Group at Mayo, co-leader of Mayo’s Womens Cancer Program, and deputy director of the Mayo Clinic’s Breast Cancer Specialized Program of Research Excellence (SPORE).
Sabine Hauert
Lecturer in Robotics, Engineering & Mathematics
Sabine Hauert is a Lecturer in Robotics at the University of Bristol, where she designs swarm of nanobots for biomedical applications. Passionate about science communication, Sabine is widely covered in the media and published.
Tina Hernandez-Boussard
Associate Professor, Stanford Medicine Boussard Lab
Dr. Hernandez-Boussard is an Associate Professor at Stanford University in Medicine (Biomedical Informatics), Biomedical Data Sciences, Surgery and Epidemiology & Population Health (by courtesy).
Kimberly Hieftje
Associate Research Scientist, Yale School of Medicine
Chad Jenkins
Associate Professor, Department of Computer Science
Odest Chadwicke Jenkins, Ph.D., is an Associate Professor of Computer Science at Brown University. His research addresses problems in robot learning and human-robot interaction, primarily focused on robot learning from demonstration, as well as topics in computer vision, machine learning, and computer animation. He has received several prestigious research awards and National Geographic featured him as an emerging explorer. Dr. Jenkins received a Ph.D. in Computer Science from the University of Southern California and an M.S. in Computer Science from Georgia Institute of Technology.
Sandeep Konam
Cofounder and CTO
Sandeep Konam is the cofounder and CTO of Abridge, a company that uses AI to help patients stay on top of their health.
Samuel Kortchmar
Undergraduate student, Science and Society
Samuel is a sophomore at Brown University pursuing a B.A. in Science and Society and a B.A. in Computer Science. He is interested primarily in the wide-ranging effects of modern technology on day-to-day life. He most recently worked as a Senior Research Assistant in Computer Science for Browns Humanity-Centered Robotics Initiative (HCRI), studying the potential benefits and disadvantages of using anthropomorphic design in robotics.
Patti Krautscheid
Certified Genetic Counselor, ARUP Laboratories
Patti Krautscheid is a certified genetic counselor with ARUP Laboratories, a national clinical reference laboratory and an enterprise of the University of Utahs Department of Pathology. She specializes in clinical molecular and genomic testing for inherited disorders. Krautscheid has an M.S. in Genetic Counseling from University of Michigan and a B.S. in Biology from University of Wisconsin–LaCrosse.
Uday Kumar
Founder, iRhythm Technologies, Inc.
Fellow, Biodesign Innovation
Uday Kumar is the Founder of iRhythm, which is a digital healthcare company that is seeking to redefine the way cardiac arrhythmias are clinically diagnosed by combining wearable biosensing technology with cloud-based data analytics and machine-learning capabilities. The Zio Patch is a discreet, comfortable, patient-friendly monitoring patch that resembles an adhesive bandage.
Barry Lester
Professor of Psychiatry & Human Behavior and of Pediatrics, Warren Alpert Medical School
Barry M. Lester is a Professor of Psychiatry & Human Behavior and a Professor of Pediatrics at Brown Universitys Warren Alpert Medical School. He is also Director of the Brown Center for the Study of Children at Risk at the Medical School and Women & Infants Hospital.
Barry Lester
Director, Center for the Study of Children at Risk, Department of Psychiatry and Human Behavior
Barry M. Lester, Ph.D. is Professor of Psychiatry & Human Behavior and Pediatrics and Director of the Brown Center for the Study of Children at Risk at the Brown Alpert Medical School and Women & Infants Hospital.
Katrina Ligett
Associate Professor, Computer Science
Head, Program on Internet & Society
Katrina Ligett is part of the Data Co-Ops Project, a cross-disciplinary initiative designing frameworks for data cooperatives. She is an Associate Professor of Computer Science at The Hebrew University, where she additionally serves as head of the program on Internet & Society.
Angelica Lim
Researcher, Okuno Speech Media Processing Lab
Angelica Lim builds artificial intelligence for robots to interact with humans in a smart, fun way by combining neuroscience, machine learning, and developmental psychology to model emotion. She has a Ph.D. in Informatics from Kyoto University in Japan, where she serves as a researcher in the Okuno Speech Media Processing Lab in the Department of Intelligence Science and Technology. She currently works as a Software Engineering Manager at Aldebaran Robotics in Paris, France. Her previous creations include robots that play music in a human ensemble, speak and gesture with expression, recognize emotion in movement, and explore land and sea.
Michael Littman
Professor, Computer Science
Michael L. Littmans research in machine learning examines algorithms for decision-making under uncertainty. He has earned multiple awards for teaching, and his research on meta-learning for computer crossword-solving, complexity analysis of planning under uncertainty, and algorithms for efficient reinforcement learning has been recognized with three best-paper awards. Littman has served on the editorial boards for the Journal of Machine Learning Research and the Journal of Artificial Intelligence Research. In 2013, he was general chair of the International Conference on Machine Learning and program chair of the Association for the Advancement of Artificial Intelligence Conference.
Christa Martin
Director, Autism and Developmental Medicine Institute
Christa Lese Martin, Ph.D., FACMG, is the Director of the Autism and Developmental Medicine Institute and Senior Investigator at Geisinger Health System. Previously, Dr. Martin was an Associate Professor at Emory University and Senior Lab Director of the Emory Genetics Lab. Her research interests include the identification and characterization of chromosomal imbalances involved in neurodevelopmental disorders and the rapid translation of new technologies for copy-number variation detection into the diagnostic arena for postnatal and prenatal testing.
Nicole Martino
Assistant Professor, School of Engineering, Computing and Construction Management
Nicole Martino is an Assistant Professor in the School of Engineering, Computing, and Construction Management at Roger Williams University. Her academic areas of specialty include structural analysis and design of concrete and steel structures.
Jin Kim Montclare
Professor, Tandon School of Engineering
Jin Kim Montclare is a Professor in the Department of Chemical and Biomolecular Engineering, who is performing groundbreaking research in engineering proteins to mimic nature and, in some cases, work better than nature. She works to customize artificial proteins with the aim of targeting human disorders, drug delivery and tissue regeneration as well as create nanomaterials for electronics.
Ajung Moon
Ph.D student, Mechanical Engineering
Researcher, Collaborative Advanced Robotics and Intelligent Systems Lab
AJung Moon is a Vanier Scholar and Ph.D. student in Mechanical Engineering at the University of British Columbia studying human-robot interaction and roboethics. She specializes in designing nonverbal communication cues, such as hand gestures and gaze cues, for robots for human-robot collaboration contexts. Currently, she is developing ways for humans and robots to negotiate’ using nonverbal gestures to quickly resolve resource conflicts. She is also a co-founder of the Open Roboethics initiative, a roboethics think tank focused on exploring ways in which various stakeholders of robotics technologies can work together to influence interactive robot designs.
Kobbi Nissim
McDevitt Chair in Computer Science, Department of Computer Science
Affiliate Professor, Georgetown Law
Kobbi Nissim is part of the Data Co-Ops Project, a cross-disciplinary initiative designing frameworks for data cooperatives. He is also McDevitt Chair in Computer Science, Georgetown University and affiliated with Georgetown Law.